Adaptive Subspace Method for Phase Noise Estimation in CO-OFDM Systems

In this paper, a blind phase noise estimation method for a coherent optical orthogonal frequency-division multiplexing (CO-OFDM) system is considered. Based on the subspace approach, a simple and robust method is proposed to adaptively estimate and track phase noise in CO-OFDM systems. The idea behi...

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Veröffentlicht in:IEEE access 2018, Vol.6, p.56368-56377
Hauptverfasser: Balogun, Muyiwa B., Oyerinde, Olutayo Oyeyemi, Takawira, Fambirai
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Takawira, Fambirai
description In this paper, a blind phase noise estimation method for a coherent optical orthogonal frequency-division multiplexing (CO-OFDM) system is considered. Based on the subspace approach, a simple and robust method is proposed to adaptively estimate and track phase noise in CO-OFDM systems. The idea behind this novel technique is to estimate the singular vectors that correspond to the smallest singular values of the noise subspace. A weighting parameter, which is derived based on the forward-backward linear prediction technique, is subsequently constructed using the obtained singular vectors of the noise subspace to adaptively estimate the phase noise in the system. Also, a variable step size is introduced to ensure an improved performance as well as stable convergence. Simulation results are shown to demonstrate the effectiveness as well as the efficiency of the proposed algorithm, which is implemented in a polarization multiplexed CO-OFDM system stressed by polarization mode dispersion, chromatic dispersion, and other polarization-dependent losses along the fiber link.
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subjects adaptive algorithms
Adaptive systems
Algorithms
Carbon monoxide
CO-OFDM
Estimation
Linear prediction
Noise
OFDM
Optical fibers
Optical noise
Optical polarization
Orthogonal Frequency Division Multiplexing
Phase noise
phase noise estimation
Polarization mode dispersion
subspace method
Subspace methods
Subspaces
title Adaptive Subspace Method for Phase Noise Estimation in CO-OFDM Systems
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